Blog Archives

Visually weighted/ Watercolor Plots, new variants: Please vote!

September 6, 2012
By
Visually weighted/ Watercolor Plots, new variants: Please vote!

Update Oct-23: Added a new parameter add to the function. Now multiple groups can be plotted in a single plot (see example in my comment) As a follow-up on my R implementation of Solomon’s watercolor plots, I made some improvements to the function. I fine-tuned the graphical parameters (the median smoother line now diminishes faster

Read more »

Amazing fMRI plots for everybody!

September 5, 2012
By
Amazing fMRI plots for everybody!

Dear valued customer, it is a well-known scientific truth that research results which are accompanied by a fancy, colorful fMRI scan, are perceived as more believable and more persuasive than simple bar graphs or text results (McCabe & Castel, 2007; Weisberg, Keil, Goodstein, Rawson, & Gray, 2008). Readers even agree more with fictitious and unsubstantiated

Read more »

Visually weighted regression in R (à la Solomon Hsiang)

August 30, 2012
By
Visually weighted regression in R (à la Solomon Hsiang)

, and also the discussions on the Statistical Modeling, Causal

Read more »

Validating email adresses in R

July 5, 2012
By

I currently program an automated report generation in R – participants fill out a questionnaire, and they receive a nicely formatted pdf with their personality profile. I use knitr, LaTex, and the sendmailR package. Some participants did not provide valid email addresses, which caused the sendmail function to crash. Therefore I wanted some validation of

Read more »

Shading regions of the normal: The Stanine scale

June 26, 2012
By
Shading regions of the normal: The Stanine scale

For the presentation of norm values, often stanines are used (standard nine). These values mark a person’s relativ position in comparison to the sample or to norm values. According to Wikipedia: The underlying basis for obtaining stanines is that a normal distribution is divided into nine intervals, each of which has a width of 0.5

Read more »

Comparing all quantiles of two distributions simultaneously

April 13, 2012
By
Comparing all quantiles of two distributions simultaneously

Summary: A new function in the WRS package compares many quantiles of two distributions simultaneously while controlling the overall alpha error. When comparing data from two groups, approximately 99.6% of all psychological research compares the central tendency (that is a … Continue reading →

Sponsors

Mango solutions



RStudio homepage



Zero Inflated Models and Generalized Linear Mixed Models with R

Dommino data lab

Quantide: statistical consulting and training



http://www.eoda.de







ODSC

ODSC

CRC R books series





Six Sigma Online Training



Contact us if you wish to help support R-bloggers, and place your banner here.

Never miss an update!
Subscribe to R-bloggers to receive
e-mails with the latest R posts.
(You will not see this message again.)

Click here to close (This popup will not appear again)